Specularis AI Visibility Audit
REMOTE · SPECULARIS-MCP-AUDIT-PRODUCTION.UP.RAILWAY.APP · SCANNED SEP 20
Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 1 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability72
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 553 tokens (~184/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the Specularis AI Visibility Audit MCP server?
Specularis AI Visibility Audit is a hosted endpoint at https://specularis-mcp-audit-production.up.railway.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · specularis-mcp-audit-production.up.railway.app
claude mcp add --transport http adevaarons-specularis-mcp-audit 'https://specularis-mcp-audit-production.up.railway.app/mcp'
{
"mcpServers": {
"adevaarons-specularis-mcp-audit": {
"url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
}
}
} {
"servers": {
"adevaarons-specularis-mcp-audit": {
"type": "http",
"url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
}
}
} [mcp_servers.adevaarons-specularis-mcp-audit] url = "https://specularis-mcp-audit-production.up.railway.app/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"adevaarons-specularis-mcp-audit": {
"type": "remote",
"url": "https://specularis-mcp-audit-production.up.railway.app/mcp",
"enabled": true
}
}
} openclaw mcp add adevaarons-specularis-mcp-audit --url 'https://specularis-mcp-audit-production.up.railway.app/mcp' --transport streamable-http
mcp_servers:
adevaarons-specularis-mcp-audit:
url: "https://specularis-mcp-audit-production.up.railway.app/mcp" {
"McpServers": {
"adevaarons-specularis-mcp-audit": {
"Transport": "http",
"Url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
}
}
} assistant mcp add adevaarons-specularis-mcp-audit -t streamable-http -u 'https://specularis-mcp-audit-production.up.railway.app/mcp'
{
"mcpServers": {
"adevaarons-specularis-mcp-audit": {
"type": "http",
"url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 10 Sept 26 0
- Server version: 2.8.0 → 2.9.0 functional
- 7 Sept 26 0
- Server version: 2.7.0 → 2.8.0 functional
- 6 Sept 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “find_ai_citations” rewrote its description, which is the text the model reads security
- Tool “run_ai_visibility_audit” rewrote its description, which is the text the model reads security
- 1 Sept 26 +1
- Stability: 0.97 → pass security
- Server version: 2.2.0 → 2.7.0 functional
- 30 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 29 Aug 26 0
- Server version: 1.0.1 → 2.2.0 functional
- 28 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 26 Aug 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Probed https://specularis-mcp-audit-production.up.railway.app/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.up.railway.app | CN=YE1,O=Let's Encrypt,C=US | 29 Jul 2026 | 27 Oct 2026 | ECDSA 256 | ECDSA-SHA384 | 6da79bb561da3efeb0e751ca21abd3999fe |
| SANs: *.up.railway.app, up.railway.app | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of specularis-mcp-audit-production.up.railway.app. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| app. | present | 23684 | 8 | Verified |
| railway.app. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://specularis-mcp-audit-production.up.railway.app/mcp | Verified | 200 | |
| http (plaintext) | http://specularis-mcp-audit-production.up.railway.app/mcp | HTTPS enforced | 301 | https://specularis-mcp-audit-production.up.railway.app/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
book_strategy_call Book a Strategy Call ~30
Get the link to book a free Specularis strategy call about AI visibility / GEO / AEO.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| booking_url | string | yes | Link to book a free 15-minute Specularis strategy call. |
No examples provided.
find_ai_citations Find AI Citation Sources ~164
Given a buyer query (e.g. 'best real estate agent in Tampa') and a website domain, find the exact sources ChatGPT, Perplexity, Claude, and Gemini cite when answering that query — and whether the domain appears in any of them. Returns the ranked source list (with which engine cites each) and an 'appears in X of N' gap. Use this whenever a user wants to know where AI gets its answers about their industry, which pages AI trusts for a query, or whether their business shows up in AI recommendations.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | The website to check for, e.g. example.com |
| query | string | yes | The question a customer would ask AI, e.g. 'best personal injury lawyer in Miami'. |
| Name | Type | Req | Description |
|---|---|---|---|
| appears_in | number | yes | How many of those sources the domain currently appears in. |
| booking_url | string | yes | – |
| domain | string | yes | – |
| query | string | yes | – |
| sources | array | yes | – |
| total_sources | number | yes | How many distinct sources AI cites for this query. |
No examples provided.
run_ai_visibility_audit Run AI Visibility Audit ~219
Run a free AI visibility (GEO/AEO) audit on a website — checks whether ChatGPT, Claude, Perplexity, and Gemini can find and cite it. Returns an instant snapshot of crawler access, structured data, and llms.txt. If an email is provided, a full scored report (0–100 across 5 pillars, with copy-paste fixes) is emailed as a PDF. Use this whenever a user asks to audit/check a site's AI visibility, GEO, AEO, or whether AI can find them.
| Name | Type | Req | Description |
|---|---|---|---|
| string | – | Optional. If provided, the full scored PDF report is emailed here (and the user becomes a Specularis lead). Omit for just the instant snapshot. | |
| name | string | – | Optional name for the report greeting. |
| role | string | – | Optional. Tailors the audit lens — local-service providers are scored on local entity signals, reviews, and directories. |
| website_url | string | yes | The website to audit, e.g. https://example.com |
| Name | Type | Req | Description |
|---|---|---|---|
| ai_crawler_access | string | yes | Whether major AI crawlers (GPTBot, ClaudeBot, PerplexityBot) can access the site. |
| booking_url | string | yes | Link to book a Specularis strategy call. |
| full_report_status | string | yes | Status of the full scored PDF report. |
| llms_txt | string | yes | Whether an llms.txt file is present. |
| report_email | string | – | The email the full report was sent to, if requested. |
| structured_data | string | yes | Summary of JSON-LD structured data found on the homepage. |
| website | string | yes | The normalized website that was audited. |
No examples provided.
What is the Specularis AI Visibility Audit MCP server?
Specularis AI Visibility Audit is an MCP server listed in the public MCP registry as io.github.AdevAarons/specularis-mcp-audit. Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website? This page covers its hosted endpoint (https://specularis-mcp-audit-production.up.railway.app/mcp).
Is the Specularis AI Visibility Audit MCP server safe to use?
Specularis AI Visibility Audit scores 78 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Specularis AI Visibility Audit MCP server expose?
Specularis AI Visibility Audit exposes 3 tools: run_ai_visibility_audit, book_strategy_call, find_ai_citations. Their descriptions and schemas cost roughly 413 tokens of context every time the server is loaded.
Does the Specularis AI Visibility Audit MCP server require authentication?
No. We connected to Specularis AI Visibility Audit without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Specularis AI Visibility Audit MCP server still maintained?
Specularis AI Visibility Audit is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.